[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: Haiku] Candidate demonstrates strong systems thinking, operations leadership, and technical stakeholder management relevant to the Scrum Master/Project Coordinator role. However, lacks explicit Scrum Master certification and formal agile methodology experience—critical gaps for a 6+ year requirement. The operations and supply chain background shows project coordination capability, but no evidence of formal agile frameworks or the technical development knowledge explicitly required. **Critical Gaps:** - Missing 6+ years as Scrum Master or formal agile leadership role—candidate has never held this title or formal agile PM role - No demonstrated software development background despite requirement—candidate's background is operations/supply chain, not systems development **Strengths:** - Exceptional technical-business translator: proven ability to bridge C-level strategy with engineering execution and adjust unrealistic timelines - Strong systems architect mindset with measurable impact focus: defined KPIs, data integrity, and operational clarity—directly relevant to project governance - Demonstrated leadership of complex multi-stakeholder initiatives: managed 60+ facilities, cross-functional coordination, and vendor relationship management **Missing Required:** Scrum Master or equivalent agile leadership role (6+ years), Software development systems knowledge (technical depth), Degree in Computer Science/Information Systems/related tech field (has Mechanical Engineering degree)

[ANALYSIS_REPORT] **GOOD_MATCH** [2.5-Flash] The candidate demonstrates strong foundational knowledge and practical experience in AI/GenAI concepts, system automation, and data governance, coupled with a proven fast-learning ability and a clear career trajectory towards AI. However, there are notable gaps in specific required technologies like Microsoft Azure and explicit MLOps/AIOps and CI/CD for AI models, which are critical for a senior role. While the candidate has valuable transferable skills and a proactive approach, these specific technical specializations are missing from their profile. **Strengths:** - Strong conceptual and practical understanding of AI/GenAI (self-hosted LLM clusters, agentic systems thinking) - Proven ability to build automated, data-driven systems and solve complex operational problems - Exceptional 'Fast Learner' with a clear, intentional career progression into AI/technical roles **Missing Required:** Microsoft Azure (platform experience), MLOps / AIOps (specific to AI models), CI/CD for models and pipelines of IA

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: GPT5-mini] Candidate demonstrates strong systems-architecture, automation and coordination experience in industry but lacks the academic credentials (MSc/PhD), explicit academic teaching experience and knowledge of educational legislation required for this on-site academic coordinator role. Additionally, the role requires relocation/presence in São Lourenço - MG, which is a hard geographic restriction and causes automatic disqualification. **Critical Gaps:** - Geographic restriction: role requires living and working in São Lourenço - MG (candidate based in São Paulo) - HARD FILTER / DISQUALIFY **Strengths:** - Proven delivery of automation-first operational systems (inventory → procurement workflows) - Strong data integrity and ERP remediation experience (large-scale record cleansing, validation rules) - Leadership and stakeholder communication (C-level interfacing, governance cadence) **Missing Required:** Master's or Doctoral degree in Technology, Documented academic coordination/docência experience, Knowledge of educational legislation and compliance for higher education

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: GPT5.1] The candidate has strong experience in operations, supply chain, and process automation with some exposure to building technical systems, but the resume does not demonstrate hands-on AWS/cloud infrastructure, CI/CD, or container orchestration experience that are central to this role. There is good domain overlap with logistics/e-commerce operations and cost/forecasting work, yet nearly all of the specific DevOps/SRE requirements (AWS, Docker, Kubernetes, IaC, observability stack, pipelines) are missing. Overall, this is a strong operations/systems profile but a poor match for a senior cloud/AWS DevOps position. **Critical Gaps:** - Ausência de experiência prática comprovada em AWS Cloud (incluindo ECS, EC2, RDS, S3, VPC, IAM) em um papel de DevOps/SRE - Nenhuma evidência de CI/CD profissional (especialmente Bitbucket Pipelines) ou de gestão de pipelines para .NET/Python/Docker - Falta de experiência demonstrada com containers Docker, orquestração (ECS/Fargate, Kubernetes/EKS) e monitoração/observabilidade (Prometheus, Grafana, CloudWatch) - Nenhuma evidência de Infra as Code (Terraform/AWS CDK) ou práticas sólidas de Linux/Shell típicas de um engenheiro de nuvem **Strengths:** - Forte background em operações, supply chain e integridade de dados em ERP, relevante para um ambiente de logística/e-commerce - Capacidade comprovada de desenhar e automatizar processos complexos com foco em previsibilidade, KPIs e redução de trabalho manual - Experiência em atuar como ponte entre negócio e tecnologia, traduzindo necessidades de stakeholders em lógica e regras operacionais **Missing Required:** Experiência sólida em AWS Cloud (ECS, EC2, RDS, S3, VPC, IAM), CI/CD com Bitbucket Pipelines para aplicações .NET, Python e containers Docker, Conhecimentos em Infra as Code (Terraform ou AWS CDK), Experiência com Linux e automação com Shell/Bash, Conhecimento em contêineres e orquestração (Docker e ECS/Fargate), Experiência com monitoramento e observabilidade (Prometheus, Grafana, CloudWatch), Controle de versão Git com estratégias Git Flow, Experiência com Kubernetes (EKS), Conhecimento em automação de testes (Selenium, Cypress ou similares), Familiaridade prática com .NET e Python em contexto de pipelines, Experiência específica com FinOps e otimização de custos na AWS, Certificação AWS (Solutions Architect, SysOps ou DevOps Engineer)

[ANALYSIS_REPORT] **WEAK_MATCH** [2.5-Flash] The candidate demonstrates strong general professional skills, including excellent communication, organization, problem-solving, and a proven fast-learning ability. While he possesses transferable domain experience in operations and systems relevant to international trade, there is a critical gap in direct commercial, sales, customer service, and new business prospecting experience, which are fundamental to the Analista Comercial role. **Critical Gaps:** - Vivência na área comercial, vendas, atendimento ao cliente e prospecção de novos negócios **Strengths:** - Strong problem-solving and systems thinking - Excellent communication and stakeholder management (in a technical/strategic context) - Highly organized and resilient fast learner **Missing Required:** Vivência na área comercial, Vendas, Atendimento ao cliente (focado em vendas), Prospecção de novos negócios

[ANALYSIS_REPORT] **POOR_FIT** [2.5-Flash] The candidate demonstrates strong general DevOps, automation, and system architecture skills with significant project experience in Python, Git, Docker, and CI/CD. However, there is a critical absence of specific Azure Cloud and Azure DevOps Services experience, which are central to this 'Azure DevOps Engineer' role. While a fast learner, the current skill set presents a significant platform mismatch. **Critical Gaps:** - Strong focus on Azure Cloud **Strengths:** - Strong automation and scripting capabilities (Python, Shell) - Extensive experience in building and managing CI/CD pipelines - Proven ability to design and implement complex systems and infrastructure (self-hosted, AWS experience) **Missing Required:** Azure Cloud, Azure DevOps Services (Pipelines, Repos, Artifacts, Boards), Kubernetes / AKS, Agile / Scrum experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: Sonnet4] Strong technical match with demonstrated full-stack capabilities and AI infrastructure experience. Candidate shows exceptional learning ability and has built production systems with modern tech stack. Missing specific React/TypeScript depth but has proven ability to rapidly acquire new technologies. **Strengths:** - AI/LLM practical application - Full-stack system building - Fast learning with production delivery **Missing Required:** React fundamentals (hooks, state management), Azure deployment experience

[ANALYSIS_REPORT] **GOOD_MATCH** [2.5-Lite] The candidate demonstrates strong alignment with core requirements such as business analysis, systems analysis, requirements documentation, process mapping, and excellent communication skills. Their career trajectory and ability to quickly build complex systems like an ATS are significant strengths. While specific preferred technologies like Java, Microsoft stacks, and BPMN tool proficiency are not explicitly detailed, the candidate's proven ability to learn and adapt, coupled with relevant ERP experience, makes them a solid match. **Strengths:** - Systems Analysis and Business Analysis Experience - Requirements Documentation and Process Mapping - Excellent Communication and Stakeholder Management **Missing Required:** BPMN proficiency, Explicit Scrum/Kanban framework experience, Waterfall methodology experience, Microsoft technologies, Java technologies, Informix 4GL technologies, Bizagi or Drawio tools, Postman or Fiddler tools, XRMToolBox tool

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: GPT5-mini] Strong systems-architecture and automation background with demonstrable production engineering, data/ERP cleanup and inventory automation, plus C2 English and clear fast-learner evidence. However, there is no explicit experience with the core required stack (.NET/C# and Angular), which reduces immediate fit for a fullstack .NET/Angular role. **Strengths:** - Proven delivery of automation-first operational systems (inventory → procurement) - Strong data integrity / ERP cleanup and reporting experience - Fast learner with self-taught AI and algorithmic trading projects plus C2 English **Missing Required:** C# / .NET, Angular

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: GPT5-mini] Candidate shows strong infrastructure, CI/CD and containerization experience (Docker, CI/CD pipelines, Linux, AWS, self-hosted LLM clusters) and a clear career trajectory toward systems/AI infrastructure, but lacks explicit Azure/Azure DevOps and IaC (Terraform/ARM/Bicep) experience required by the role. Transferable cloud and DevOps skills mitigate some gaps, making this a good fit if the client accepts AWS-to-Azure portability and rapid upskilling. **Strengths:** - Proven delivery of automation-first production systems (procurement, e-commerce workflows) - Hands-on infrastructure experience including Docker, CI/CD, AWS and self-hosted AI clusters - Strong systems thinking and ability to translate business requirements into technical scope **Missing Required:** Azure (cloud platform with strong focus) not demonstrated, Azure DevOps Services (Pipelines/Repos/Artifacts/Boards) not shown, Terraform / ARM / Bicep (Infrastructure as Code) not shown, Kubernetes / AKS orchestration not shown

[ANALYSIS_REPORT] **WEAK_MATCH** [2.5-Flash] The candidate demonstrates a strong engineering foundation, exceptional aptitude for learning and building complex technical systems, and a meticulous attention to detail crucial for data accuracy. However, there are notable gaps in specific domain knowledge and practical experience directly related to architectural and construction documentation, which are core requirements for this specialist role. **Strengths:** - Strong engineering background with systems thinking and problem-solving abilities. - Proven track record of building and operating complex automated systems, including AI infrastructure. - Exceptional fast learner with a clear career progression towards technical and AI-related roles. **Missing Required:** Basic construction documentation review, Hands-on experience reading common construction drawings (plans, elevations, sections, simple detail sheets), General familiarity with CSI divisions, schedules, standard sheet layouts, Comfort navigating basic drawing sets, recognizing common symbols and annotations, working with title blocks, tags, and callouts

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: Haiku] Hugo demonstrates strong SQL proficiency through production ERP data work, clear algorithmic thinking via trading strategies and automation workflows, and a proven fast-learner profile. However, explicit mentions of required languages (Scala/Java/Go), containerization (Docker/Kubernetes), and orchestration tools (Airflow/DBT) are absent. His career trajectory from supply chain analytics to systems architecture aligns well with data engineering, and infrastructure-first methodology suggests he'll rapidly acquire missing technologies. **Strengths:** - Production SQL proficiency at scale: Demonstrated through 4,000+ ERP record cleansing, validation logic design, and reporting systems - Algorithm design expertise: Proven with trading strategies, risk logic, and complex procurement automation workflows - Rapid skill acquisition and infrastructure-first thinking: Built web scraping + ATS system in weeks without prior coding background; self-taught trading algorithms; MIT MicroMasters; AWS certification in progress **Missing Required:** Explicit Scala, Java, or Go experience (Python strongly inferred but not explicitly stated), Explicit containerization technology (Docker/Kubernetes)

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: Sonnet4] Critical mismatch: candidate is a Systems Architect with 10+ years in operations/engineering, while the position requires UI/UX design expertise. Zero overlap in core competencies - candidate shows no design background, portfolio, or user interface experience. **Critical Gaps:** - Complete absence of design background - candidate is purely technical/operations focused **Strengths:** - English proficiency - Remote work capability - Systems architecture experience **Missing Required:** 3+ years UI/UX experience, Design software proficiency, User-centered design principles, Responsive design experience, Usability testing knowledge, Visual design skills

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: GPT5-mini] Candidate demonstrates strong Data DevOps/operations experience (automation-first pipelines, CI/CD, Docker, AWS) and advanced English, plus evidence of complex infra work (self-hosted LLM clusters) that infers deep ops skills. Missing explicit Kafka and Prometheus/Tableau reduces precision on tooling fit but does not outweigh demonstrated end-to-end pipeline and cloud expertise. **Strengths:** - Infrastructure & cloud ops: Docker, AWS, CI/CD, self-hosted clusters - Automation-first data pipelines and production systems (procurement, e-commerce, ATS) - Cross-functional leadership, strong communication, and advanced English (C2)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: Haiku] Strong match for process engineering role with proven ERP mastery, supply chain analytics background, and automation-first mindset. Candidate demonstrates system design capability and cross-functional leadership. Primary gap: no formal process modeling tool certification (Bizagi/Visio/ARIS), though infrastructure-first thinking and operations experience are directly transferable. **Strengths:** - Exceptional hands-on experience redesigning complex financial/supply chain processes at scale (4,000+ data records, 40-50 daily transactions) - Proven ability to translate business requirements into technical specifications and work across engineering-business interfaces (exact role requirement) - Deep financial services domain knowledge (10+ years in finance/supply chain/e-commerce operations with Santander-adjacent complexity) **Missing Required:** Formal training in process modeling tools (Bizagi/Visio/ARIS)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: Haiku] Candidate demonstrates strong systems thinking, automation expertise, and proven ability to deliver MVP platforms rapidly. However, he lacks the 5+ years of dedicated full-stack engineering experience with TypeScript/React/Node.js that the role explicitly requires. His background is operations/systems-focused rather than professional SaaS product engineering. The technical foundation exists, but the resume shows self-taught web development as a recent project (ATS system), not a career trajectory of shipping TypeScript/React products. **Critical Gaps:** - No demonstrated 5+ years of full-stack engineering in TypeScript/React/Node.js (role requires this explicitly) - Career history primarily operations/business/trading, not professional SaaS/product engineering **Strengths:** - Exceptional rapid MVP delivery and systems thinking (built full ATS platform in weeks with no prior coding background) - Strong English (C2 certified), PST timezone overlap feasible from Brazil, remote-work proven - Fast learner with demonstrated AI/infrastructure self-teaching; founder/operations experience shows ownership mindset and ability to translate vision into execution **Missing Required:** 5+ years full-stack engineering experience, Advanced TypeScript proficiency in production, Production React experience, Production Node.js backend experience, SQL/NoSQL database optimization at scale

[ANALYSIS_REPORT] **WEAK_MATCH** [2.5-Flash] The candidate demonstrates strong systems architecture, automation, and AI infrastructure skills with relevant experience as a founder in startup environments. However, a significant gap exists in the core required full-stack technologies (TypeScript, React, Node.js) at an advanced proficiency level for this Senior Engineer role, impacting the overall match. **Strengths:** - Strong background in systems architecture, automation, and operations. - Proven ability to build and deploy complex systems, including AI infrastructure and e-commerce automation. - Demonstrates rapid learning capability, continuous self-education, and a strong ownership mindset. **Missing Required:** Advanced proficiency in TypeScript, Advanced proficiency in React, Advanced proficiency in Node.js

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: Sonnet4] Strong match with demonstrated AI infrastructure experience and systems thinking, but missing formal ML research background. Candidate shows impressive self-learning capacity and has built production AI systems, though lacks specific deep learning research experience typically expected for this role. **Strengths:** - Self-hosted LLM clusters demonstrating AI infrastructure expertise - Systems thinking with automation-first approach - Proven rapid learning ability with technical depth **Missing Required:** Deep expertise in model efficiency/distributed systems/hardware acceleration, Industry lab experience with computing at scale

[ANALYSIS_REPORT] **WEAK_MATCH** [2.5-Flash] The candidate possesses strong general systems architecture, automation, and AI infrastructure skills, with a proven fast-learning ability. However, the role is highly specialized for an SAP Backend Developer, and the candidate lacks direct experience with critical SAP technologies (BTP, HANA Cloud, OData, CAP, SAP S/4HANA), forming a significant domain gap. Additionally, specific experience in strong Node.js backend development, Agile methodologies, and explicit API validation tools like Postman are not clearly demonstrated, contributing to a weak overall match. **Critical Gaps:** - SAP Ecosystem Expertise **Strengths:** - Strong systems architecture, automation, and general full-stack development capabilities. - Proven fast learner with exceptional ability to build and deploy complex systems (AI infrastructure, trading bots, web platforms). - Proficient in AI/Generative AI concepts and infrastructure, coupled with strong English communication. **Missing Required:** Strong Node.js experience, Agile methodology, Postman (or equivalent) for API validation

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] This candidate is an exceptional match, demonstrating deep systems engineering experience, a strong bias for automation, and a proven ability to build and deploy complex AI infrastructure. His career trajectory and 'fast learner' evidence align perfectly with the company's mission for efficient, evolving AI. **Strengths:** - AI/ML Systems Engineering & Infrastructure: Demonstrated experience in building and deploying complex AI infrastructure and adaptive systems. - Automation, Efficiency & Real-World Impact: Proven ability to automate operations, build efficient solutions, and deliver tangible business outcomes, directly aligning with the company's core mission. - Business-Technical Acumen & Adaptability: Strong communication skills, ability to bridge business and technical needs, coupled with a remarkable capacity for rapid learning and adaptation. **Missing Required:** Explicit experience with specific ML frameworks (e.g., PyTorch, JAX, TensorFlow)

[ANALYSIS_REPORT] **POOR_FIT** [2.5-Flash] The candidate demonstrates strong transferable skills in general systems architecture, automation, and communication, along with a proven ability to learn rapidly. However, the role requires highly specialized experience as a Dynamics 365 Finance & Operations Developer, including a mandatory certification and hands-on experience with D365 F&O, Azure Data Factory, and Microsoft Lifecycle Services (LCS), all of which are critically absent from the candidate's profile. **Critical Gaps:** - Microsoft Certified: Dynamics 365 Finance and Operations Apps Developer Associate (mandatory) - Strong experience developing and customizing Dynamics 365 Finance & Operations (D365 F&O) solutions - Solid understanding of D365 F&O architecture, development lifecycle, and best practices - Hands-on experience using Microsoft Lifecycle Services (LCS) for deployment, monitoring, environment management, and maintenance **Strengths:** - Exceptional communication skills in English, adept at translating business needs to technical teams and stakeholders. - Demonstrated strong problem-solving, systems thinking, and automation capabilities across various project domains. - Proven 'fast learner' with a continuous technical career progression and ability to rapidly acquire new, complex skills. **Missing Required:** Proven experience designing and maintaining integrations using Azure Data Factory for ETL and data synchronization

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: GPT4.1] The candidate demonstrates strong systems architecture, automation, and data integrity experience, but there is no evidence of Salesforce, Communications Cloud, or Vlocity/Velocity expertise, nor direct telecom domain experience. While the candidate is a fast learner with a technical background and proven ability to self-teach, the absence of required Salesforce skills and telecom exposure is a critical gap for this role. The candidate's strengths are in automation, process optimization, and technical leadership, but these are not sufficient to offset the lack of direct platform/domain experience. **Critical Gaps:** - Salesforce platform experience - Communications Cloud expertise **Strengths:** - Automation and process design - Data-driven decision making - Technical leadership and stakeholder communication **Missing Required:** Salesforce Industries, Communications Cloud, Vlocity/Velocity

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: Sonnet4.5] The candidate has strong operations/systems thinking and automation experience, but lacks the core AWS technical depth required for a Solutions Architect role. While there's evidence of self-learning capability and systems architecture mindset, the position requires hands-on AWS service expertise (EC2, S3, RDS, Lambda, ECS/EKS, VPC, IAM, CloudWatch), DevOps/CI/CD knowledge, and pre-sales experience that are not demonstrated in the resume. The candidate's trajectory shows operations/supply chain optimization rather than cloud infrastructure architecture. **Critical Gaps:** - No demonstrated AWS cloud architecture experience - BLOCKING - No hands-on experience with AWS managed services - BLOCKING - No DevOps/CI/CD pipeline experience - BLOCKING - No container orchestration experience (Docker/Kubernetes) - BLOCKING **Strengths:** - Strong systems thinking and process automation background with proven ability to build end-to-end automated workflows - Excellent stakeholder management and business-to-technical translation skills, comfortable working with C-level executives - Demonstrated fast learner with self-taught complex systems (trading algorithms, job scraping/scoring system) and English C2 fluency **Missing Required:** AWS Solutions Architect certification (Associate or Professional), Solid experience in AWS cloud solution architecture, AWS service expertise (EC2, S3, RDS, Lambda, ECS/EKS, VPC, IAM, CloudWatch), DevOps and infrastructure automation knowledge, CI/CD pipeline experience, Container technology experience, Pre-sales technical support experience, Client-facing technical requirements gathering, AWS reference architecture design, AWS migration experience, POC and Immersion Day delivery, AWS Well-Architected Framework knowledge

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: Sonnet4.5] Good operational and systems thinking match with strong process automation background, but critical gap in telecom domain expertise and WFM systems. Candidate demonstrates systems architecture thinking and automation skills transferable to the role, plus proven ability to self-learn complex technical domains. However, lacks specific telecom/WFM experience which is explicitly required. **Critical Gaps:** - No demonstrated experience with WFM systems (explicitly required) - No telecommunications industry background (required for telecom projects) **Strengths:** - Strong systems architecture thinking with proven ability to design complex automated workflows from scratch - Excellent business-technical translation skills with C-level stakeholder management experience matching interface role requirements - Fast learner with demonstrated ability to master new technical domains independently (ERP systems, trading algorithms, scraping systems) **Missing Required:** WFM systems expertise (functional and technical), Telecom field operations process knowledge, Microsoft Azure platform experience

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: Haiku] Candidate is a systems architect with strong operations and automation expertise, but lacks required technical stack (.NET, Azure, Kubernetes). While he demonstrates infrastructure-first thinking and system design capabilities, the job explicitly requires multi-cloud cloud-native technologies that are entirely absent from his demonstrated experience. Critical domain mismatch between operations/supply-chain systems and enterprise cloud infrastructure. **Critical Gaps:** - BLOCKING: Required tech stack (.NET, Azure, Kubernetes) completely absent - candidate has zero demonstrated experience in these technologies - BLOCKING: Candidate's background is operations/supply-chain systems, not enterprise cloud infrastructure - fundamentally different domain **Strengths:** - Proven ability to design and build complex automated systems from scratch (e-commerce automation, ATS-style job tracking) - Strategic thinking with solid technical communication bridging business and engineering - Fast learner with demonstrated self-teaching capability and formal technical education (Control & Automation degree, MIT MicroMasters) **Missing Required:** .NET experience, Azure platform experience, Kubernetes/orchestration experience, Multi-cloud environment experience, Cloud-native architecture experience

[ANALYSIS_REPORT] **GOOD_MATCH** [2.5-Flash] The candidate presents a strong background in systems architecture, automation, and data management, demonstrating excellent transferable skills, communication, and a 'fast learner' trait. However, a significant gap exists in direct, in-depth expertise with enterprise CRM platforms like Microsoft Dynamics or Salesforce, which is a core requirement for a CRM Solution Architect role. **Critical Gaps:** - In-depth expertise in modern CRM platform architecture (e.g., Microsoft Dynamics, Salesforce) **Strengths:** - Strong Systems Architecture and Automation Expertise with a proven track record of building and optimizing complex systems. - Excellent communication and stakeholder management skills, capable of translating business needs to technical teams and engaging with leadership. - Solid technical foundation (Linux, Cloud, Python, Go, Docker, CI/CD) and a demonstrated 'Fast Learner' ability, enabling rapid adoption of new technologies. **Missing Required:** Secure CRM Design, Knowledge of AI capabilities within CRM platforms

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: Sonnet4] Strong systems architecture background with proven automation and infrastructure experience, but missing several required cloud technologies. Fast learner profile and demonstrated ability to build complex systems from scratch compensates for technology gaps. **Strengths:** - Systems architecture and automation expertise - Proven track record building scalable solutions - Strong business-technical translation skills **Missing Required:** AWS cloud services, Modern development frameworks, Container orchestration, Infrastructure as Code

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate is a strong match, demonstrating exceptional systemic thinking and a proven track record in building and automating complex systems with an 'infrastructure-first' mindset. While some specific technologies like Kubernetes or C4 Model are not explicitly listed, the candidate's extensive relevant experience, fast-learner capabilities, and continuous career progression indicate a high aptitude to quickly adapt and excel in a Solution Architect role. **Strengths:** - Exceptional analytical capacity and systemic vision, with proven ability to build and optimize complex, automation-first systems. - Extensive hands-on experience in system design, automation, and operational efficiency across diverse domains (e-commerce, financial trading, ERP). - Demonstrated 'fast learner' capability, continuously acquiring and applying new technical skills (AI infrastructure, algorithmic trading, AWS). **Missing Required:** C4 Model, Knowledge with development frontend utilizing Angular, React or Vue.js, Familiarity with Kubernetes as a service (GKE, EKS, AKS), Experience with observability tools (DataDog, NewRelic, Zabbix, Prometheus (Grafana))

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate presents an outstanding profile with extensive client-facing experience, strong architectural capabilities, and a proven track record of delivering complex technical solutions. While specific mention of React.js and Node.js is absent, their experience in building a "full website" with JavaScript, coupled with their 'Fast Learner' trait, strongly infers proficiency or rapid adoption of these technologies. **Strengths:** - Exceptional client-facing and business acumen, comfortable with C-suite engagement - Strong technical architect and system builder across diverse technologies (Python, Go, JS, AWS, Docker) - Proven rapid learner and self-starter with a track record of delivering complex, production-grade solutions

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate presents an exceptionally strong profile for a Solution Architect role, demonstrating significant experience in system architecture, automation, and C-level stakeholder management. While two specific technical areas (cloud migration projects and RTO/RPO/DR) were not explicitly mentioned, the candidate's 'fast learner' evidence, engineering background, and strong inferred skills (e.g., AWS certification in progress, building complex systems) heavily mitigate these gaps, indicating a rapid ability to acquire necessary expertise. **Strengths:** - Strong System Architecture and Automation Expertise with a focus on business value. - Exceptional C-level Communication and Stakeholder Management, translating strategy to execution. - Proven 'Fast Learner' with a strong engineering foundation and intentional career progression. **Missing Required:** Experiência prática no planejamento, desenvolvimento e entrega de projetos de migração de nuvem para nuvem (desejável on-premise para nuvem também), Soluções de replicação em ambiente físico e/ou nuvem e conceitos sobre RTO/RPO/DR

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: Haiku] Hugo presents a strong architectural mindset and proven ability to bridge business-technical requirements, directly matching the pre-sales architect role. However, significant gaps exist: minimal cloud infrastructure expertise (no AWS/Azure/GCP hands-on), no RFP/RFI experience, limited multi-cloud architecture knowledge, and no traditional datacenter/hosting infrastructure background. His supply chain and ERP domain experience transfers well to client engagement, but the technical infrastructure specifics required for this Oracle role are largely missing. **Critical Gaps:** - No demonstrated cloud infrastructure experience (AWS/Azure/GCP) - role heavily weighted toward this - No pre-sales or architecture consulting background - this is a senior pre-sales architect role requiring 5+ years in that specific function **Strengths:** - Exceptional ability to translate business problems into technical solutions - directly matches architect role's core responsibility - Proven C-level and stakeholder engagement experience with complex technical projects - Systematic thinking and project delivery capability (e-commerce automation, ATS system built rapidly from scratch) **Missing Required:** Hands-on cloud architecture experience (prioritized in job), Cloud migration project delivery (practical experience), Multi-cloud infrastructure knowledge, RFP/RFI experience, Pre-sales or solution architecture background

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate demonstrates exceptional alignment with the Solution Architect role, showcasing strong leadership in automation, systems architecture, and technical project delivery. While specific architectural frameworks (TOGAF ADM) and certain programming languages (Java, C#, TypeScript) are not explicitly present, the candidate's extensive experience, proven fast-learner ability, and direct relevance of past projects in building large-scale, automated solutions make them a very strong fit, capped at 100 due to significant positive contributions. **Strengths:** - Strong background in automation and systems architecture, with a clear focus on transforming messy processes into measurable systems. - Proven technical leadership and ability to bridge business requirements with technology solutions, demonstrating a strong career trajectory towards an architect role. - Extensive practical experience with modern development practices (CI/CD, Python, Cloud, Docker) and a highly effective self-teaching track record. **Missing Required:** Java, C#, TypeScript, TOGAF ADM, 5+ years architectural experience (candidate has ~4.7 years)

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate demonstrates exceptional capabilities in system architecture, automation, data governance, and designing for performance/scalability, evidenced by significant projects like e-commerce automation and ATS development. While explicit experience with specific cloud platforms and some modern integration/DevOps tools is not detailed, the candidate's 'infrastructure-first' mindset, proven fast-learner ability, and strong career progression towards technical architecture roles indicate a high potential for rapid adaptation. **Strengths:** - System Architecture & Design - Automation & Process Optimization - Data Governance & Integrity **Missing Required:** Cloud Computing Platforms (Azure, AWS, GCP, PaaS, IaaS), Specific APIs (REST, GraphQL), Specific Messaging Technologies (Kafka, RabbitMQ), CI/CD Tools, Terraform (Infrastructure as Code), Specific Modeling Tools (UML, C4 Model, ArchiMate), Specific Security Practices (IAM, Cryptography, LGPD)

[ANALYSIS_REPORT] **GOOD_MATCH** [2.5-Flash] The candidate presents a strong background in system design, automation, and operational management, evidenced by building and running complex e-commerce and data scraping systems. Their 'fast learner' aptitude and intentional career progression into technical architecture are significant advantages. While there are gaps in explicit mentions of specific architectural patterns, cloud platforms, integration technologies, and certain security/compliance practices, the underlying capabilities for a Senior Architect are largely inferable. **Strengths:** - Strong capability in designing, building, and operating automation-first systems with a focus on data quality. - Proven 'fast learner' with a track record of self-teaching complex technical domains (AI infrastructure, algorithmic trading) and a clear positive career trajectory. - Extensive experience in translating strategic business requirements into concrete technical implementations and managing operational excellence. **Missing Required:** Microserviços (padrão arquitetural), Event-driven (padrão arquitetural), SOA (padrão arquitetural), Cloud-native (padrão arquitetural), Azure (plataforma Cloud), GCP (plataforma Cloud), PaaS (serviço Cloud), IaaS (serviço Cloud), APIs REST (tecnologia de integração), GraphQL (tecnologia de integração), Kafka (tecnologia de mensageria), RabbitMQ (tecnologia de mensageria), IAM (segurança), Criptografia (segurança), LGPD (compliance), CI/CD (prática DevOps), Terraform (Infraestrutura como Código), UML (ferramenta de modelagem), C4 Model (ferramenta de modelagem), ArchiMate (ferramenta de modelagem), Projetar sistemas explicitamente para alta disponibilidade e escalabilidade em grande escala

[ANALYSIS_REPORT] **GOOD_MATCH** [2.5-Flash] The candidate presents a strong foundation in data architecture, data governance, and data integration, with demonstrated experience in complex data-driven systems and a proven ability to translate business needs into technical solutions. However, a significant gap exists in experience with regulated/federal data environments and explicit handling of sensitive medical data, which are critical for this role. This absence prevents a higher match, despite otherwise impressive technical and strategic capabilities. **Critical Gaps:** - Lack of explicit experience with regulated/federal data environments and sensitive data handling, which is crucial for a Joint Operational Medicine Information Systems (JOMIS) program. **Strengths:** - Strong capabilities in data architecture, modeling, and governance principles - Proven experience in designing and implementing data integration and data flow automation - Exceptional ability to translate operational/business needs into clear data requirements and technical scope **Missing Required:** Experience in regulated or federal data environments, Familiarity with managing sensitive data and privacy controls

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: Sonnet4.5] This is a critical mismatch. The role requires an Azure/Windows infrastructure specialist with 13+ years in enterprise IT and 5+ years of deep Azure migration, networking, and Windows Server administration experience. The candidate is a systems/operations generalist with automation and business-process focus, but lacks any demonstrated Azure cloud architecture, Windows Server administration, or enterprise infrastructure migration experience. The technology domains are fundamentally different. **Critical Gaps:** - Azure cloud architecture and migration (required 5+ years, candidate has zero) - Windows Server administration and troubleshooting (core requirement, no evidence) - Enterprise infrastructure team leadership (requires 5+ members, candidate is solo founder/consultant) - 13+ years IT infrastructure experience (candidate has operations/business systems background, not IT infrastructure) **Strengths:** - Strong stakeholder communication and business-technical translation (useful for PM/customer collaboration) - Demonstrated fast learning and self-teaching ability (could potentially learn Azure/Windows, but timeline incompatible) - Systems thinking and automation-first approach (valuable mindset, wrong domain) **Missing Required:** Azure infrastructure design and migration experience, Windows Server enterprise administration, Azure Migrate tooling and assessment experience, Landing Zone architecture and implementation, 24x7 infrastructure support team governance, Banking/healthcare/insurance domain infrastructure experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: Sonnet4.5] Strong technical foundation with proven self-hosting AI infrastructure, Python scripting, AWS exposure, and demonstrated ability to rapidly learn and deploy complex systems. However, lacks direct hands-on experience with modern generative AI models (LLMs, Stable Diffusion) in production, PyTorch/TensorFlow frameworks, and AWS Bedrock/SageMaker specifically. The candidate's trajectory shows intentional movement toward AI/technical roles with impressive self-teaching velocity. **Strengths:** - Strong Python proficiency with proven ability to build production systems rapidly (job scraping + ATS platform in weeks) - Demonstrated self-learning capability and speed - self-hosted LLM clusters, algorithmic trading, full-stack development from robotics background - AWS and cloud infrastructure experience with systems thinking approach to complex problems **Missing Required:** Hands-on experience with generative AI models (LLMs, Stable Diffusion) - no direct evidence in resume, PyTorch/TensorFlow proficiency - not mentioned, AWS Bedrock/SageMaker experience - not demonstrated

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate presents an exceptional technical background with strong problem-solving and automation skills, directly applicable to the role's troubleshooting and resolution requirements. Their rapid learning ability and extensive experience in systems architecture and development make them a highly adaptable and valuable asset, despite some missing specific process framework knowledge. **Critical Gaps:** - ITIL v4 knowledge/certification - Agile methodologies/SAFe familiarity or certification - Availability to attend in-person meetings - Availability for on-call support **Strengths:** - Exceptional technical problem-solving and automation expertise - Demonstrated fast learner with a proven track record of acquiring new complex skills rapidly - Strong ability to translate technical concepts into business outcomes and communicate effectively across all levels **Missing Required:** ITIL v4 knowledge/certification, Agile methodologies/SAFe familiarity or certification, Availability to attend in-person meetings, Availability for on-call support

[ANALYSIS_REPORT] **DISQUALIFIED** [2.5-Flash] The candidate does not meet the fundamental requirement of native or near-native Kinyarwanda fluency, which is a hard filter for this role. While possessing strong technical skills, they are not relevant to this Kinyarwanda language specialist position. **Critical Gaps:** - Native or near-native Kinyarwanda fluency **Strengths:** - Strong English proficiency (C2) - Extensive experience in systems architecture and automation - Proven ability in AI infrastructure and technical project delivery **Missing Required:** Native or near-native Kinyarwanda fluency, Deep understanding of Kinyarwanda grammar, syntax, semantics, and cultural context

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: Sonnet4] Candidate has strong systems architecture and automation experience but lacks the core technical requirements. No demonstrated .NET Core, Angular, or modern web development experience. The candidate's expertise is primarily in supply chain, ERP systems, and trading algorithms rather than fullstack web development. **Critical Gaps:** - .NET Core backend development - Angular frontend development - Modern web development frameworks **Strengths:** - Strong systems architecture background - Proven automation and process optimization skills - Experience with complex data systems and ERP **Missing Required:** .NET Core, Angular 2+, Event-driven architecture, Messaging, Caching/Redis, AWS Cloud Computing

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate is a strong match, demonstrating deep experience in automation, AI-driven systems, and CI/CD pipelines. While lacking explicit mention of specific Python web frameworks, his proven ability to rapidly build complex systems and strong problem-solving skills make him highly adaptable for the role. **Strengths:** - AI/Automation Expertise and Application - Systems Architecture & Business-Technical Bridging - Rapid System Delivery & CI/CD Management **Missing Required:** Python Frameworks (Django, Flask, FastAPI)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: GPT4.1] The candidate demonstrates strong experience in systems architecture, automation, and business process optimization, but lacks direct experience with Dynamics 365 and C#. There is evidence of strong logic, automation, and rapid self-learning, but no explicit or inferred exposure to Microsoft stack or web technologies required for the role. The candidate's trajectory is toward technical/AI roles, not specifically enterprise CRM/ERP customization. **Critical Gaps:** - No experience with Dynamics 365 or Microsoft stack **Strengths:** - Automation-first mindset - Process optimization at scale - Proven fast learner **Missing Required:** Direct experience with Dynamics 365, C# development

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate presents a strong profile in system architecture, automation, and data integrity, backed by 10+ years of experience and a clear 'Fast Learner' trajectory. Their expertise in integrations, ERP systems (TOTVS), and data-driven project leadership aligns well with general IT talent pool needs. While there is a notable absence of explicit DevSecOps and specialized security skills, which are heavily emphasized in the job description's requirements, the candidate's broad technical foundation, problem-solving abilities, and continuous learning commitment make them a strong candidate for various roles within the organization, as the job post explicitly invites applications even if all requirements are not met. **Critical Gaps:** - Specialized Security Information / DevSecOps expertise (Red Team, Purple Team, SAST/SCA, security analysis of code, DevSecOps pipelines) **Strengths:** - Strong Systems Architecture and Automation Expertise - Proven Problem-Solving and 'Fast Learner' Aptitude - Leadership and Data Integrity Focus in Technical Projects **Missing Required:** Red Team, Purple Team, SAST/SCA rule creation, Security analysis of code, DevSecOps pipelines, Interpreting security scanner results, Java, .NET, React, Angular, Vue.js, PHP

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: Haiku] Candidate is a highly skilled systems architect with strong background in operations automation and supply chain, but lacks any demonstrated experience with Microsoft Power Platform (Power Apps, Power Automate), which are core requirements. No evidence of software development, UI design, or data platform integration experience that would transfer to this role. **Critical Gaps:** - Power Platform expertise - entirely different tech stack from candidate's background - Application development - candidate is operations/systems architect, not a software developer - Microsoft ecosystem - no demonstrated experience with Azure, CDS, or Power Platform connectors **Strengths:** - Proven ability to design and document enterprise systems with business impact - Strong automation and process optimization mindset applicable to workflow platforms - Excellent stakeholder management and requirement translation skills between business and technical teams **Missing Required:** Power Apps development (model-driven and canvas), Power Automate workflow creation, Power Platform connector customization, Enterprise application architecture on Microsoft stack, CDS/Dataverse extension knowledge

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate is a strong match, demonstrating extensive experience in systems architecture, operations, and automation, directly aligning with the core troubleshooting and root cause analysis required. Their proven ability to build and manage complex technical systems, coupled with direct experience in Linux and cloud environments, makes them exceptionally well-suited for a Technical Support Engineer role focused on deep technical problem-solving. The 'Fast Learner' bonus and impressive career trajectory further enhance their candidacy. **Strengths:** - Exceptional problem-solving and root cause analysis mindset applied to complex systems. - Strong hands-on experience with Linux, AWS/Cloud, Python, Go, and CI/CD for operational excellence. - Proven 'fast learner' with a track record of rapidly acquiring new technical skills and delivering production-grade systems.

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate presents an exceptional background in data analytics, statistics, and automation, demonstrating practical application of ML/AI concepts through self-hosted LLM clusters and algorithmic trading. While specific platforms like Spark, PySpark, Databricks, and direct AWS experience are missing, their proven fast-learning ability and strong career trajectory towards technical/AI roles mitigate these gaps significantly. The overall profile strongly aligns with the core analytical and system-building responsibilities. **Strengths:** - Strong Analytical & Statistical Foundation: Demonstrated across multiple roles (quantitative analysis, forecasting, trading algorithms, MIT MicroMasters) and applied to business problem-solving. - Proven Automation & Systems Building: Extensive experience in designing and implementing 'automation-first' systems, web scraping tools (ATS), and improving operational processes with an 'infrastructure-first' mindset. - Rapid Self-Learning & Technical Breadth: Evidence of self-taught AI infrastructure (LLM clusters), algorithmic trading, continuous education (MIT MicroMasters, AWS certification in progress), showcasing a strong ability to acquire and apply complex technical skills in AI/ML and infrastructure. **Missing Required:** AWS (direct experience), Spark, PySpark, Databricks

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate demonstrates exceptional quantitative analysis, data management, and systems architecture skills, with a proven track record of applying these to complex problems like algorithmic trading and automated e-commerce. Their self-taught expertise in AI infrastructure and continuous learning initiatives make them a strong match, despite some non-explicit mentions of specific cloud (AWS) and big data (Spark, Databricks) platforms, which they are likely capable of acquiring rapidly. **Strengths:** - Exceptional Quantitative & Analytical Prowess - Strong Systems Architecture & Data Management Experience - Proven Fast Learner with AI/ML & Automation Background **Missing Required:** AWS (explicit experience), Spark, PySpark, Databricks

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: GPT4.1] The candidate has direct supply chain analytics and business analysis experience, strong stakeholder engagement, and a proven record of translating business needs into technical solutions. Demonstrated SQL, cloud (AWS), and dashboard/reporting skills, with additional strengths in automation and data quality. Only minor gaps exist in specific tool experience (e.g., Power BI/Tableau) and formal business analysis certification. **Strengths:** - Direct supply chain analytics and business analysis experience - Proven ability to bridge business and technical teams - Demonstrated rapid self-learning and delivery of complex systems

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: Sonnet4] This is a poor fit - the candidate's technical systems architecture background doesn't align with content management and creator relations requirements. While he demonstrates project management and operational excellence, the role requires creative taste, content production coordination, and creator relationship management skills that aren't evident in his background. **Critical Gaps:** - Content/Creative Operations - completely different domain from technical systems **Strengths:** - Operational Excellence - Systems Organization - Stakeholder Management **Missing Required:** Creator communication and management, Creative systems organization, Content production workflows, Creative taste and judgment

[ANALYSIS_REPORT] **STRONG_MATCH** [2.5-Flash] The candidate is an exceptional match, demonstrating extensive and recent experience in automation and business process optimization, which is central to the instructor role. Their strong communication skills are evident in their ability to translate complex technical concepts and coordinate stakeholders, aligning perfectly with mentoring and guiding students. Furthermore, their proven 'fast learner' ability and consistent career progression towards technical and AI roles make them highly suitable for inspiring and educating aspiring tech professionals. **Strengths:** - Extensive experience in automation and business process optimization across various domains - Exceptional communication skills, particularly in bridging technical and non-technical stakeholders and simplifying complex concepts - Demonstrated 'fast learner' capabilities and intentional career trajectory into advanced technical and AI infrastructure